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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 18418
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Aid
    -0.66
    stro
    -0.65
    rared
    -0.63
     polio
    -0.63
     shelling
    -0.62
     Forestry
    -0.62
    Rocket
    -0.60
    addons
    -0.60
     smuggling
    -0.60
    training
    -0.60
    POSITIVE LOGITS
    neapolis
    0.74
    amily
    0.72
    mers
    0.69
    acebook
    0.69
    pload
    0.68
     Millenn
    0.67
    olla
    0.66
     Ches
    0.65
     Fifth
    0.63
     Cuomo
    0.63
    Activations Density 0.000%

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